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This role is a fantastic opportunity for you if you're looking to build a high-impact and super-innovative product that brings a completely new value to the agricultural ecosystem. The Agricx product will require you to put your R&D skills in fields of Computer Vision, Machine Learning, and Deep Learning to test and deliver a high-quality product that can revolutionize how processing industry performs QC and business happens in the entire agricultural landscape today.
PhD / M.Tech. with 5+ Yrs experience in a related field would be strongly preferred.
As a Senior AI Scientist you will be responsible for:
1. Performing R&D for advancing the Agricx product
2. Leading the AI team & deliver set milestones
3. Working closely with the Founders and the Product Head to translate the business requirements into technical execution
4. Creatively solving technical challenges in a new field with limited research resources currently available
5. Doing a lot of hands-on programming
Important skills to have:
1. Programming: 5 years min. experience in Python, C, C++
2. Very strong background in Statistics, Computer Vision, Machine Learning & Deep Learning.
3. Experience with designing, implementing, training, evaluating, and optimizing algorithms based on state-of-the-art machine learning techniques;
4. Experience with applying deep learning for object recognition, classification & 3D reconstruction
5. Experience with cloud computing & GPUs
6. Experience with major deep learning frameworks such as Caffe, Tensorflow
7. Experience with libraries like OpenCV & DLib

APPLY LINK: http://bit.ly/2F83vxU
Researcher - Deep Learning & AI
Team: Research
Full-Time, Permanent
Bangaluru, India
Relevant Exp: 6 months - 5 Years
Background: Top Tier institute + Startup exposure
Compensation: Above standards
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behavior enabling strengthened decisions.
Scaling established startup by IIT alumni innovating & disrupting marketing domain through artificial intelligence. We bring those people onboard who are dedicated to deliver wisdom to humanity by solving the world’s most pressing problems differently thereby significantly impacting thousands of souls, everyday.
Real ROLE
We are looking for researchers with real passion for deep learning. You would be required to work with our research team on several deep learning applications.
Mandatory
R1. Must know in-and-out of functional programming in Python with strong flair for data structures, linear algebra, & algorithms implementation
R2. Must be able to apply state-of-art deep learning models to our existing research and develop entirely new methods, which are advanced & modern
R3. Must have designed multiple deep learning techniques solving complex business scenarios preferably from marketing domain across industries
R4. Must have designed proven pre-processing techniques on unstructured (image, audio, video, text, logs) and time-series data
R5. Must have designed CNN, RNN (atleast three variants including LSTM), Auto Encoders, DBN, MLP, RBM
R6. Must have tweaked & trained on deep learning architectures mainly AlexNet, ResNet, RCNN, GAN
R7. Must have worked on classification, clustering, computer vision, speech recognition, text summarization, time-series analysis
R8. Must have firm understanding of the underlying mathematics will be needed to adapt modelling techniques to fit the problem space with large data (10M+ entities)
R9. Must be extremely strong working knowledge on Python scientific stack (NumPy, SciPy, Matplotlib, Scikit-learn, Pandas, Stats model, Seaborn, PyBrain) and atleast basic working knowledge on TensorFlow. R/ SAS/ SPSS etc are not acceptable.
Preferred
R10. Good to have knowledge and practical experience in application of Supervised Learning algorithms, Bayesian methods, Gaussian processes, Combinatorial optimization, Meta Learning, Transfer Learning, Convex optimization, Sparse methods, Kernel methods, Stochastic process, Statistical learning theory, and Approximate inference
R11. Good to have working knowledge of first-class, high order, & pure functions, recurisons, lazy evaluations, and immutable data structures
R12. Good to have worked on Tensorboard, Saving & Restoring models, Continue Training
R13. Good to have worked on Keras on top of TensorFlow
R14. Good to have worked on Reinforcement Learning and Generative Adverbial Networks
R15. Great problem solver with extremely high curiosity on data processing & patterns
Ideal YOU
Y1. Degree in engineering, or any other data-heavy field at Bachelors/Masters/Ph.D level or above from a top tier institute
Y2. Relevant experience of 0.5 - 5 years working on real-world problems in a research lab or a reputed company or a proven startup
Y3. You are a fanatical implementer who love to spend time with findings & innovations, more than your loved ones
Y4. You are true believer that human intelligence can be augmented through computer science & mathematics and your survival depends on getting the most from the data
Y5. You are an entrepreneur mindset with ownership, intellectuality, & creativity as way to work. These are not fancy words, we mean it
Actual WE
W1. Real startup with Meaningful products
W2. Revolutionary not just disruptive
W3. Rules creators not followers
W4. Small teams with real brains not herd of blockheads
W5. Completely trust us and should be trusted back
Why Us
In addition to the regular stuff which every good startup offers – Lots of learning, Food, Parties, Open culture, Flexible working hours, and what not….
We offer you: <Do your Greatest work of life>
You shall be working on our revolutionary products which are pioneer in their respective categories. This is a fact.
We try real hard to hire fun loving crazy folks who are driven by more than a paycheck. You shall be working with creamiest talent on extremely challenging problems at most happening workplace.
How to Apply
You should apply online by clicking "Apply Now".
For queries regarding an open position, please write to careers@busigence.com
For more information, visit http://www.busigence.com
Careers: http://careers.busigence.com
Research: http://research.busigence.com
Jobs: http://careers.busigence.com/jobs/research
Feel right fit for the position, mandatorily attach PDF resume highlighting your
A. Key Skills
B. Knowledge Inputs
C. Major Accomplishments
D. Problems Solved
E. Submissions – Github/ StackOverflow/ Kaggle/ Euler Project etc. (if applicable)
If you don't see this open position that interests you, join our Talent Pool and let us know how you can make a difference here. Referrals are more than welcome. Keep us in loop.

APPLY LINK: http://bit.ly/2GWlc3U
Developer - TensorFlow
Team: Sciences
Full-Time, Permanent
Bangaluru, India
Relevant Exp: 6 months - 5 Years
Background: Top Tier institute + Startup exposure
Compensation: Above standards
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behavior enabling strengthened decisions.
Scaling established startup by IIT alumni innovating & disrupting marketing domain through artificial intelligence. We bring those people onboard who are dedicated to deliver wisdom to humanity by solving the world’s most pressing problems differently thereby significantly impacting thousands of souls, everyday.
Real ROLE
We are looking for developers with real passion for neural networks. You would be required to work with our sciences team on several deep learning applications.
Mandatory
R1. Must know in-and-out of functional programming in Python with strong flair for data structures, linear algebra, & algorithms implementation
R2. Must have implement multiple deep learning techniques solving complex business scenarios preferably from marketing domain across industries
R3. Must have implemented proven pre-processing techniques on unstructured (image, audio, video, text, logs) and time-series data
R4. Must have soiled hands coding CNN, RNN (atleast three variants including LSTM), Auto Encoders, DBN, MLP, RBM, in core TensorFlow 1.3
R5. Must have tweaked & trained on deep learning architectures mainly AlexNet, ResNet, RCNN, GAN
R6. Must be able to recognize code that is more parallel, and less memory constrained, and you must show how to apply best practices to avoid runtime issues and performance bottlenecks
R7. Must have firm understanding of the underlying mathematics will be needed to adapt modelling techniques to fit the problem space with large data (10M+ entities)
R8. Must be extremely strong working knowledge on Python scientific stack (NumPy, SciPy, Matplotlib, Scikit-learn, Pandas, Stats model, Seaborn, PyBrain). R/ SAS/ SPSS etc are not acceptable.
Preferred
R9. Good to have working knowledge of first-class, high order, & pure functions, recurisons, lazy evaluations, and immutable data structures
R10. Good to have worked on Tensorboard, Saving & Restoring models, Continue Training
R11. Good to have worked on Keras on top of TensorFlow
R12. Good to have distributed TensorFlow over multiple clusters
R13. Good to have integrated TensorFlow with Apache Spark
R14. Good to have worked on Reinforcement Learning and Generative Adverbial Networks
R15. Great problem solver with extremely high curiosity on data processing & patterns
Ideal YOU
Y1. Degree in engineering, or any other data-heavy field at Bachelors level or above from a top tier institute
Y2. Relevant experience of 0.5 - 5 years working on real-world problems in a reputed company or a proven startup
Y3. You are a fanatical implementer who love to spend time with codes & workarounds, more than your loved ones
Y4. You are true believer that human intelligence can be augmented through computer science & mathematics and your survival depends on getting the most from the data
Y5. You are an entrepreneur mindset with ownership, intellectuality, & creativity as way to work. These are not fancy words, we mean it
Actual WE
W1. Real startup with Meaningful products
W2. Revolutionary not just disruptive
W3. Rules creators not followers
W4. Small teams with real brains not herd of blockheads
W5. Completely trust us and should be trusted back
Why Us
In addition to the regular stuff which every good startup offers – Lots of learning, Food, Parties, Open culture, Flexible working hours, and what not….
We offer you: <Do your Greatest work of life>
You shall be working on our revolutionary products which are pioneer in their respective categories. This is a fact.
We try real hard to hire fun loving crazy folks who are driven by more than a paycheck. You shall be working with creamiest talent on extremely challenging problems at most happening workplace.
How to Apply
You should apply online by clicking "Apply Now".
For queries regarding an open position, please write to careers@busigence.com
For more information, visit http://www.busigence.com
Careers: http://careers.busigence.com
Research: http://research.busigence.com
Jobs: http://careers.busigence.com/jobs/data-science
Feel right fit for the position, mandatorily attach PDF resume highlighting your
A. Key Skills
B. Knowledge Inputs
C. Major Accomplishments
D. Problems Solved
E. Submissions – Github/ StackOverflow/ Kaggle/ Euler Project etc. (if applicable)
If you don't see this open position that interests you, join our Talent Pool and let us know how you can make a difference here. Referrals are more than welcome. Keep us in loop.

Location: Bangalore
Educational Qualification: BE/B.Tech/M.Tech/MS/PhD or any academic qualification in a quantitative field preferred.
Experience: 4+ years, flexible for the right candidate
Job Responsibilities:
Part of the Research team working continuously to improve ShieldSquare’s bot-human classification engine.
Analyze billions of web page visits per month amounting to many terabytes of data and apply state-of-the-art Data Science and ML techniques to derive new patterns.
As an area expert in ML, guide and mentor junior team members.
Requirements:
Excellent quantitative skills and experience in statistics and machine learning
Interest in learning and applying the learnings to achieve the objectives.
Interest in experimentation and data-driven improvisation
Experience in leading/mentoring data scientists/ML engineers/scientists
Hands-on knowledge of deep learning
Any of the following qualifications are preferred:
Knowledge of SQL/Visualization tools/Python: Pandas, Scipy suite
Knowledge of Deep learning tools: Tensorflow/Keras/PyTorch/Caffe/Theano/Mxnet etc.
Completion of online courses in Data Science/ML domain
Participation in Data Science/ML competitions
Contribution in open source projects
Experience in solving real-world Data Science problems
Experience in A/B testing, multi-armed bandits, controlled experiments, reinforcement learning
What’s in it for you?
Experience in working on billions of newly generated data points per month (many terabytes of data) using cutting-edge Data Science tools.
Experience in R&D of real-time bot-human classification engine handling 1000s of request per second
Work and learn as part of the cross-functional R&D team (some with PhD) building the industry leading bot-human classification engine
Play a high impact role in a setting where data-driven improvements are pushed to production code on a daily basis

Role: DataScientist
Location: Bangalore
Job description:
What will you do ??
• Develop, process, cleanse and enhance data collection procedures from multiple data sources
• Conduct & deliver experiments and proof of concepts to validate business ideas and potential value.
• Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.
• Work closely with product teams to implement algorithms with R and/or Python.
• Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.
• Facilitate integration with enterprise applications using APIs to enrich implementations.
Ideal Characteristics?
• 10+ years of experience in designing/developing industrial IT solutions
• Minimum 3 years of experience in developing and deploying machine learning, deep learning, NLP solutions.
• Experience with common data science toolkits, such as R, NumPy - Excellence in at least one of these is mandatory.
• Proficiency with any one NoSQL databases such as MongoDB, Cassandra, HBase
• Should have good awareness on entire machine learning/ predictive modeling & implementation process: Model design, feature planning, system infrastructure, production setup and monitoring, and release management.
• Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc.
• Experience in selecting features, building and optimizing classifiers using machine learning techniques.
• Prior experience with data visualization tools, such as D3.js, GGplot, etc.
• Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc.
• Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders.
Candidate Philosophy:
• Proven Ability to learn and work on latest technology, have good analytical skills and pickup faster.
• Should have excellent communication, interpersonal skills and be a team player.
• Should have Strong Leadership skills to drive the technical aspects of the project.
• Able to act as the technical change agent in the project, mentoring the lesser experienced
• Experience in building strong relationship with the Onsite Counterparts

Should be experienced in building Machine learning pipelines.
Should be proficient in Python and scientific packages like pandas, numpy, scikit, matplotlib, etc.
Experience with techniques such as Data mining, Distributed Computing, Applied Mathematics and Algorthims, Probablity & statistics,
Strong problem solving and conceptual thinking abilities
Hands on experience in Model building
Building highly customized and optimized data pipelines integrating third party API’s and inhouse data sources.
Extracting features from text data using tools like Scapy
Deep learning for NLP using any modern framework

Mate Labs is looking for a kick ass and enthusiastic Machine Learning Engineer who has a really good understanding of machine learning and deep learning. We love GitHub and open source projects.
Skills Required:
* Machine Learning Algorithms(Regression(MUST), Classification, Clustering)
* Frameworks - Scikit-learn, Keras, Tensorflow, Pandas, Numpy, Caffe(Optional), PyTorch(Optional)
* ARIMA(Time-series forecasting)(Optional)
* LSTM - Single and Multi-variate time-series forecasting(Optional).
We need candidates who atleast have 1.5-2 years of experience as a Data Scientist/Data Analyst, preferably in a BFSI sector.
Mate Labs has built Mateverse for Data Analysts so that they can build customised machine learning and data science models for quick prediction like sales forecasting without writing even a single line of code.
At Mate Labs we are solving a unique problem of algorithm & Hyperparameter selection in the field of Artificial Intelligence.

## Responsibilities
* Exp 4~8 years
* Design and build the initial version of the off-line product by using Machine Learning to recommend video contents to 1M+ User Profiles.
* Design personalized recommendation algorithm and optimize the model
* Develop the feature of the recommendation system
* Analyze user behavior, build up user portrait and tag system
## Desired Skills and Experience
* B.S./M.S. degree in computer science, mathematics, statistics or a similar quantitative field with good college background
* 3+ years of work experience in relevant field (Data Engineer, R&D engineer, etc)
* Experience in Machine Learning and Prediction & Recommendation techniques
* Experience with Hadoop/MapReduce/Elastic-Stack/ELK and Big Data querying tools, such as Pig, Hive, and Impala
* Proficiency in a major programming language (e.g. C/C++/Scala) and/or a scripting language (Python/R)
* Experience with one or more NoSQL databases, such as MongoDB, Cassandra, HBase, Hive, Vertica, Elastic Search
* Experience with cloud solutions/AWS, strong knowledge in Linux and Apache
* Experience with any map-reduce SPARK/EMR
* Experience in building reports and/or data visualization
* Strong communication skills and ability to discuss the product with PMs and business owners

Fly NavaTechnologies is a start-up organization whose vision is to create the finest airline software for distinct competitive advantages in revenue generation and cost management. The software products have been designed and created by veterans of the airline and airline IT industry, to meet the needs of this special customer segment. The software will be constructive by innovative approach to age old practices of pricing, hedging, aircraft induction and will be path breaking to use, encouraging the users to rely and depend on its capabilities.
Wewill leverage our competitive edge by incorporating new technology, big data models, operations research and predictive analytics into software products, a means of creating interest and creativity while using the software. This interest and creativity will increase potential revenues or reduce costs considerably, thereby creating a distinct competitive differentiation.
​FlyNava is convinced that when airline users create that differentiation easily, their alignment to the products will be self-motivated rather than mandated.
High level of competitive advantage will also flow with the following
All the products, solutions and services will be Copyright. FlyNava will benefit with high IPR value including its base thesis/research as the sole owners.
Existing product companies are investing in other core areas which our business areas are predominantly manual process
Solutions are based on master thesis which need 2-3 years to complete and more time to make them relevant for software development.
Expertise in these areas are far and few.
Responsible for Collecting, Cataloguing, Filtering of data and Benchmarking solutions
- Contribute to model related Data Analytics and Reporting.
- Contribute to Secured Software Release activities.
Education & Experience :
- B.E/B.Tech or M.Tech/MCA in Computer Science/ Information Science / Electronics & Communication
- 3 - 6 Years of experience
Must Have :
- Strong in Data Analytics via
Pyomo (for optimization)
Scikit-learn (for small data ML algorithms)
MLlib (Apache Spark big-data ML algorithms)
- Strong in representing metrics and reports via json
- Strong in scripting with Python
- Familiar with Machine learning, pattern recognition Algorithms
- Familiar with Software Development Life Cycle
- Effective interpersonal skills
Good to have :
Social analytics
Big data